fleetenergies, a company that specialises in reducing energy cost and environmental footprints, has announced the deployment of its RILCO AI technology, which enables it to integrate and enrich a single database with information about fuel consumption, CO2 emissions and usage of heavy goods vehicles from eight manufacturers
The artificial intelligence engine is the product of a machine-learning approach operated on billions of pieces of proprietary data collected over 14 years and combined with a database of 40,000 types of truck fuel tanks. It makes it possible to have continuous real time tracking of fuel consumption based on volume in litres for vehicles from DAF, Ford, Iveco, MAN, Mercedes, Renault, Scania and Volvo.
By means of its patented methodology, fleetenergies is able to provide shippers with data on emissions in real conditions that are essential for carbon accounting (scopes 1 and 3), as detailed as the footprint left by each individual palette that is loaded. It can also set up corrective actions for hauliers to take in order to reduce their fuel consumption and, thereby, their CO2 emissions.
Shippers have this information at their disposal as soon as their chosen hauliers are connected to the RILCO AI platform. In this way, fleetenergies enables its shipper clients to benefit from the 15% reduction in CO2 emissions from hauliers that it has achieved.